DELVE Benefits Include:
- Full Health & Dental w/ Supplemental Vision
- Safe Harbor 401K plan w/ company match
- Competitive salary
- Flexible work-from-home policy
- Generous PTO
- Parental leave
DELVE is a fast-growing MarTech and AdTech company that specializes in data-driven marketing science, digital marketing campaign management, and web analytics. Among our key clients are UNICEF, Wynn, Virgin, Gerber Life, and AT&T.
DELVE has been growing at 100% year-over-year for the last three years, and we have gained recognition in US-based media as a rising company.
DELVE’s US headquarters is in Boulder, CO with satellite offices in New York City, Minsk, Belarus and Warsaw, Poland.
Why Work at Delve?
Industry Leadership
You’ll be part of a fast-paced, exciting business in the data science/AdTech sector that’s experiencing rapid growth.
Supportive Culture
You’ll be part of a workplace that emphasizes both individual and team growth, responsibility, honesty, and collaboration.
Ownership of Your Work
You’ll have the responsibility to make things happen and the opportunity to make a real difference.
Work/Life Balance
You’ll have the ability to work from home part time, and an annual ski pass to Boulder’s best slopes.
Competitive Salary and Benefits
You’ll enjoy full medical coverage and generous PTO—including a paid week off between Christmas Eve and New Year’s Day.
Comprehensive Compensation Plan
In addition to your base salary, you’re eligible for a performance-based bonus and deferred compensation.
Our Team Says…
Current Job Openings at DELVE
Looking for a challenging, supportive, and fast-paced environment where you can push yourself to excel? Come work with the best and brightest at DELVE.
There are no job offers meeting the criteria.
Data Scientist
Deliver intelligent machine learning-driven marketing insights, predictions, and recommendations in a consultant-client setting. Using your creativity, technical programming skills, and passion for problem solving, develop and deploy cloud-based data science solutions solving real world marketing business problems. Work as an independent self-starter comfortable with ambiguity and able to transform vague client business problems into tangible machine learning projects aimed at delivering measurable economic value. Figure out ways to use programming to automate manual tasks and optimize decision-making. Discuss different approaches and theories to solving problems with machine learning.
Required Skills:
- Master’s degree in Computer Science, Engineering, Physics, Math, Economics, Finance or other quantitative field.
- One year of experience in Data Analysis, Database Administration, Python, or similar programming languages (R, SAS, etc.) Advanced knowledge and proficiency with SQL.
- One year of experience creating data pipelines and developing/deploying machine learning models in a business setting.
- Ability to perform data cleansing, transformation, and model feature creation/abstraction/selection specifically for machine learning.
- Must be able to utilize the following platforms: 1 BI visualization platform (Tableau, Power BI, Google Data Studio, Looker).
- One year of experience with cloud environments, such as Google Cloud Platform.
- One year of experience with marketing and media web analytics (e.g., Google Analytics 360, Adobe Analytics, Facebook, Amazon, The Trade Desk, paid search, Google Campaign Manager, etc.).
- One year of experience owning project timelines, developing project plans, and delegating tasks
All experience and requirements may be gained concurrently after achievement of the degree.
Candidates MUST be able to work In-Office minimum of 3 days per week (Tuesday, Wednesday, and Thursday) with the possibility of 100% in office in the future.
To apply, please submit your resume and summary of interest in the role to: careers@delvedeeper.com
Questions? Call (206) 892-8508 Delve Partners Inc is an equal opportunity employer valuing diversity and inclusion in the workplace.
Delve Partners Inc, 183 S Taylor Ave., Unit 156, Louisville, CO 80027. No agency referrals, please.
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